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    <title>Fibonacci2/Iterative/21 - Criterion.rs</title>
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    <div class="body">
        <h2>Fibonacci2/Iterative/21</h2>
        <div class="absolute">
            <section class="plots">
                <table width="100%">
                    <tbody>
                        <tr>
                            <td>
                                <a href="pdf.svg">
                                    <img src="pdf_small.svg" alt="PDF of Slope" width="450" height="300" />
                                </a>
                            </td>
                            <td>
                                <a href="regression.svg">
                                    <img src="regression_small.svg" alt="Regression" width="450" height="300" />
                                </a>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </section>
            <section class="stats">
                <div class="additional_stats">
                    <h4>Additional Statistics:</h4>
                    <table>
                        <thead>
                            <tr>
                                <th></th>
                                <th title="0.95 confidence level" class="ci-bound">Lower bound</th>
                                <th>Estimate</th>
                                <th title="0.95 confidence level" class="ci-bound">Upper bound</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td>Slope</td>
                                <td class="ci-bound">5.1233 ns</td>
                                <td>5.1734 ns</td>
                                <td class="ci-bound">5.2449 ns</td>
                            </tr>
                            <tr>
                                <td>R&#xb2;</td>
                                <td class="ci-bound">0.7146992</td>
                                <td>0.7217511</td>
                                <td class="ci-bound">0.7075062</td>
                            </tr>
                            <tr>
                                <td>Mean</td>
                                <td class="ci-bound">5.1271 ns</td>
                                <td>5.1741 ns</td>
                                <td class="ci-bound">5.2312 ns</td>
                            </tr>
                            <tr>
                                <td title="Standard Deviation">Std. Dev.</td>
                                <td class="ci-bound">151.76 ps</td>
                                <td>267.60 ps</td>
                                <td class="ci-bound">379.53 ps</td>
                            </tr>
                            <tr>
                                <td>Median</td>
                                <td class="ci-bound">5.0831 ns</td>
                                <td>5.1038 ns</td>
                                <td class="ci-bound">5.1396 ns</td>
                            </tr>
                            <tr>
                                <td title="Median Absolute Deviation">MAD</td>
                                <td class="ci-bound">78.870 ps</td>
                                <td>101.71 ps</td>
                                <td class="ci-bound">127.82 ps</td>
                            </tr>
                        </tbody>
                    </table>
                </div>
                <div class="additional_plots">
                    <h4>Additional Plots:</h4>
                    <ul>
                        
                        <li>
                            <a href="slope.svg">Slope</a>
                        </li>
                        <li>
                            <a href="mean.svg">Mean</a>
                        </li>
                        <li>
                            <a href="SD.svg">Std. Dev.</a>
                        </li>
                        <li>
                            <a href="median.svg">Median</a>
                        </li>
                        <li>
                            <a href="MAD.svg">MAD</a>
                        </li>
                    </ul>
                </div>
            </section>
            <section class="explanation">
                <h4>Understanding this report:</h4>
                <p>The plot on the left displays the average time per iteration for this benchmark. The shaded region
                    shows the estimated probability of an iteration taking a certain amount of time, while the line
                    shows the mean. Click on the plot for a larger view showing the outliers.</p>
                <p>The plot on the right shows the linear regression calculated from the measurements. Each point
                    represents a sample, though here it shows the total time for the sample rather than time per
                    iteration. The line is the line of best fit for these measurements.</p>
                <p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#additional-statistics">the
                        documentation</a> for more details on the additional statistics.</p>
            </section>
        </div>
        <section class="plots">
            <h3>Change Since Previous Benchmark</h3>
            <div class="relative">
                <table width="100%">
                    <tbody>
                        <tr>
                            <td>
                                <a href="both/pdf.svg">
                                    <img src="relative_pdf_small.svg" alt="PDF Comparison" width="450"
                                        height="300" />
                                </a>
                            </td>
                            <td>
                                <a href="both/regression.svg">
                                    <img src="relative_regression_small.svg" alt="Regression Comparison" width="450"
                                        height="300" />
                                </a>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </div>
        </section>
        <section class="stats">
            <div class="additional_stats">
                <h4>Additional Statistics:</h4>
                <table>
                    <thead>
                        <tr>
                            <th></th>
                            <th title="0.95 confidence level" class="ci-bound">Lower bound</th>
                            <th>Estimate</th>
                            <th title="0.95 confidence level" class="ci-bound">Upper bound</th>
                            <th></th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td>Change in time</td>
                            <td class="ci-bound">-4.0052%</td>
                            <td>-1.8478%</td>
                            <td class="ci-bound">+0.1128%</td>
                            <td>(p = 0.08 &gt;
                                0.05)</td>
                        </tr>
                    </tbody>
                </table>
                No change in performance detected.
            </div>
            <div class="additional_plots">
                <h4>Additional Plots:</h4>
                <ul>
                    
                    <li>
                        <a href="change/mean.svg">Change in mean</a>
                    </li>
                    <li>
                        <a href="change/median.svg">Change in median</a>
                    </li>
                    <li>
                        <a href="change/t-test.svg">T-Test</a>
                    </li>
                </ul>
            </div>
        </section>
        <section class="explanation">
            <h4>Understanding this report:</h4>
            <p>The plot on the left shows the probability of the function taking a certain amount of time. The red
                curve represents the saved measurements from the last time this benchmark was run, while the blue curve
                shows the measurements from this run. The lines represent the mean time per iteration. Click on the
                plot for a larger view.</p>
            <p>The plot on the right shows the two regressions. Again, the red line represents the previous measurement
                while the blue line shows the current measurement.</p>
            <p>See <a href="https://bheisler.github.io/criterion.rs/book/user_guide/command_line_output.html#change">the
                    documentation</a> for more details on the additional statistics.</p>
        </section>
    </div>
    <div id="footer">
        <p>This report was generated by
            <a href="https://github.com/bheisler/criterion.rs">Criterion.rs</a>, a statistics-driven benchmarking
            library in Rust.</p>
    </div>
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